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Authors: Cheng Xu 1 ; Xin Wang 2 and Xiaonan Yu 1

Affiliations: 1 Department of Traffic Management Engineering, Zhejiang Police College, China ; 2 Department of International School, Zhejiang Police College, China

Keyword(s): Fundamental diagram, Bicycle traffic, Electric bicycle, Logistic model

Abstract: Bicycle has become one of the important commuting travel ways to residents who are living in developing countries including China. Therefore, it’s of great theoretical interest and industrial significance to study on the fundamental diagram of bicycle traffic flow. According to the operating characteristic, this paper proposes adopting logistic model to modeling the fundamental bicycle traffic flow and the method of model parameters calibration based on the maximum likelihood algorithm. This model was verified by the measured data from three sections of Hangzhou city and estimated the capacity was 2243 bikes/h/m. The fitting precision of this model was significantly improved compared to the traditional model. Based on the study mentioned above, it will provide data supporting to the application of fundamental diagram in the bicycle traffic flow field.

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Paper citation in several formats:
Xu, C.; Wang, X. and Yu, X. (2018). Fundamental Diagram of Bicycle Traffic Based on Logistic Model. In 3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT; ISBN 978-989-758-312-4, SciTePress, pages 187-190. DOI: 10.5220/0006967401870190

@conference{icectt18,
author={Cheng Xu. and Xin Wang. and Xiaonan Yu.},
title={Fundamental Diagram of Bicycle Traffic Based on Logistic Model},
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT},
year={2018},
pages={187-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006967401870190},
isbn={978-989-758-312-4},
}

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT
TI - Fundamental Diagram of Bicycle Traffic Based on Logistic Model
SN - 978-989-758-312-4
AU - Xu, C.
AU - Wang, X.
AU - Yu, X.
PY - 2018
SP - 187
EP - 190
DO - 10.5220/0006967401870190
PB - SciTePress

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